Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete

Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete

To achieve precise multi-objective mix design of dam concrete-targeting strength, durability, and crack resistance-this study proposes a Dam Concrete Mix Proportioning intelligent generation System (DCMPS) based on a Retrieval-Augmented Generation (RAG) framework. Firstly, a total of 1723 mix propor...

Full description

Saved in:
Bibliographic Details
Main Authors: Yuqing Shang, Zhijiang Ke, Peng Lin, Qianhui Ren, Wenshan Zhang, Xiongwu Wang, Xiaotao Li, Fuyuan Gong, Shiqi Wang, Baofa Wang, Zhengkui Xu, Minglun Sun, Shunli Tan
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Case Studies in Construction Materials
Subjects:
Mixture design
Knowledge graph
Large language model
Retrieval-augmented generation
Semantic retrieval
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509525007776
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

http://www.sciencedirect.com/science/article/pii/S2214509525007776

Similar Items